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Record W7065770885

[ESPN-TV] Senators vs Canucks: Live Stream (NHL Hockey Online 2019)

2019· other· en· W7065770885 on OpenAlexaboutno aff

Bibliographic record

VenueOSF Preprints (OSF Preprints) · 2019
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsVictoryBattleShot (pellet)OvertimePoint (geometry)Counterattack
DOInot available

Abstract

fetched live from OpenAlex

The Ottawa Senators come into this game looking to build on back-to-back wins after a 6-2 win over the Toronto Maple Leafs in their last outing. Cody Ceci opened the scoring with the lone goal of the opening period. Brian Gibbons made it 2-0 early in the 2nd before Toronto responded after the midway point of the 2nd period. Magnus Paajarvi responded just 1:18 later to restore the two-goal lead and added his 2nd goal of the game just under five minutes later, carrying a 4-1 lead into the 3rd. =========================== Watch Live NOW >> https://247itv.info/ice-hockey Watch Live NOW >> https://247itv.info/ice-hockey =========================== Toronto pulled a goal back but Anthony Duclair and Oscar Lindberg would each score to push the lead to 6-2 and hold on for a victory in the Battle of Ontario. Anders Nilsson got the win to improve to 13-17-1 after stopping 35 of 37 shots faced in the winning effort. The Vancouver Canucks will also be looking to build on back-to-back wins after a 3-2 overtime win over Chicago in their last outing. Chicago opened the scoring with the lone goal of the 1st coming late in the period, before Alex Edler and Mikael Granlund tied the game and took the lead for Vancouver just over five minutes apart. The Canucks would hold the lead for most of the 3rd but couldn’t hold on, as Chicago would tie the game, sending us to OT where Bo Horvat scored just :16 into the extra frame to give the Canucks the victory. Thatcher Demko got the win to improve to 2-2-0 this season after stopping 29 of 31 shots faced in the winning effort. Ottawa is 17-55 in their last 72 road games and 16-36 in their last 52 games overall while the under is 3-0-1 in their last 4 games against a team with a losing record. Vancouver is 7-17 in their last 24 games as a favorite and 18-38 in their last 56 games following a win while the under is 6-1 in their last 7 home games. Ottawa is 3-7 in the last 10 meetings between these two teams in Vancouver. The Senators and the plus money are tempting considering how well the Sens have played in their back-to-back wins, but the fact is that Ottawa has nothing left to play for and every win actually hurts their draft position. Vancouver still has an outside chance at a playoff spot and need to win games like these if they’re going to keep these hopes alive. The price isn’t ideal, but I’m not getting behind a Sens team that’s been brutal on the road. Give me the Canucks here.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.751
Threshold uncertainty score0.355

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0050.004
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.7510.564

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.259
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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